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arXiv 2202.09761eess.SYcs.SY
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考虑环境温度的固定与移动联合储能系统优化配置--以冬奥会为例

Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game

He Meng, Hongjie Jia, Tao Xu, Wei Wei, Yuhan Wu, Lemeng Liang, Shuqi Cai, Zuozheng Liu, Rujing Wang

摘要:

国际大型活动,如冬季奥运会,已被认为是世界范围内碳密集度最高的活动之一。由于可再生能源的随机性,在确保极高可靠性的同时完全可再生能源的容纳和利用的承诺给系统运行带来了重大挑战。由固定储能系统(SESS)和共享移动储能系统(MESS)组成的电池储能系统(BESS)可满足大型活动期间重要负荷的短期负荷浪涌、可再生调节和应急供电需求。BESS可以在活动结束后继续为场馆用电提供服务,以满足碳中和的要求。另一方面,冬季奥运会期间的低温环境对BESS的退化和性能有重要影响,需要将其纳入到BESS的充放电模型中。为此,提出了考虑环境温度的SESS和MESS联合两阶段优化配置方法,以支持大型活动碳中和,减少冗余BESS容量分配,提高系统全寿命周期成本效益。仿真结果验证了在不同情景下SESS与MESS协同作战的合理性和有效性。

英文摘要:

The international mega-event, such as the Winter Olympic Game, has been considered as one of the most carbon intensive activities worldwide. The commitment of fully renewable energy accommodation and utilization while ensuring the extreme high reliability has brought significant challenges on system operation due to the stochastic nature of the renewables. The battery energy storage system (BESS) composed of stationary energy storage system (SESS) and shared mobile energy storage system (MESS) can be utilized to meet the requirements of short-term load surges, renewable accommodation and emergency power supply for important loads during the mega-event. The BESS can continue to serve the venues electricity consumption to satisfy the carbon neutrality after the event. On the other hand, the low ambient temperature of Winter Olympic game has significant impact on BESSs degradation and performance which need to be integrated to the charging and discharging model of BESS. To this end, a joint two-stage optimal configuration method considering the ambient temperature of SESS and MESS has been developed to support the mega-event carbon neutrality, to reduce redundant BESS capacity allocation and improve the system life cycle cost-benefit. Simulation results have demonstrated the rationality and effectiveness of the collaborative operation of SESS and the MESS under various scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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